Younes Akbari

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Younes Akbari trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Jitendra Malik (in Computer Vision and Pattern Recognition)
  2. Trevor Darrell (in Computer Vision and Pattern Recognition)
  3. Alexei A. Efros (in Computer Vision and Pattern Recognition)
  4. Antonio Torralba (in Computer Vision and Pattern Recognition)
  5. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  6. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  7. Kaiming He (in Computer Vision and Pattern Recognition)
  8. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  9. Jeff Donahue (in Computer Vision and Pattern Recognition)
  10. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Younes Akbari's perspective

Ordered by how strongly the researchers Younes Akbari trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Context Encoders: Feature Learning by Inpainting
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers